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Volumn , Issue , 2013, Pages

Learning multi-level sparse representations

Author keywords

[No Author keywords available]

Indexed keywords

CALCIUM; NEURONS; SEMANTICS; UNSUPERVISED LEARNING;

EID: 84899000433     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (26)
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    • Multilayer nonnegative matrix factorization
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    • In vivo calcium imaging of neural network function
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    • Goebel, W.1    Helmchen, F.2
  • 12
    • 67349093319 scopus 로고    scopus 로고
    • Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
    • H. Kim and H. Park. Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM J. on Matrix Analysis and Applications, 2008.
    • (2008) SIAM J. on Matrix Analysis and Applications
    • Kim, H.1    Park, H.2
  • 13
    • 84870038047 scopus 로고    scopus 로고
    • Tree-guided group lasso for multi-response regression with structured sparsity with an application to eQTL mapping
    • S. Kim and E. P. Xing. Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping. Ann. Appl. Stat., 2012.
    • (2012) Ann. Appl. Stat.
    • Kim, S.1    Xing, E.P.2
  • 14
    • 84876097941 scopus 로고    scopus 로고
    • The non-negative matrix factorization toolbox for biological data mining
    • Y. Li and A. Ngom. The non-negative matrix factorization toolbox for biological data mining. In BMC Source Code for Biology and Medicine, 2013.
    • (2013) BMC Source Code for Biology and Medicine
    • Li, Y.1    Ngom, A.2
  • 18
    • 70349129483 scopus 로고    scopus 로고
    • Automated analysis of cellular signals from largescale calcium imaging data
    • E. A. Mukamel, A. Nimmerjahn, and M. J. Schnitzer. Automated analysis of cellular signals from largescale calcium imaging data. Neuron, 2009.
    • (2009) Neuron
    • Mukamel, E.A.1    Nimmerjahn, A.2    Schnitzer, M.J.3
  • 19
    • 58049205423 scopus 로고    scopus 로고
    • Image sequence denoising via sparse and redundant representations
    • M. Protter and M. Elad. Image sequence denoising via sparse and redundant representations. IEEE Transactions on Image Processing, 18(1), 2009.
    • (2009) IEEE Transactions on Image Processing , vol.18 , pp. 1
    • Protter, M.1    Elad, M.2
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    • A unified view of matrix factorization models
    • A. P. Singh and G. J. Gordon. A unified view of matrix factorization models. ECML PKDD, 2008.
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    • Singh, A.P.1    Gordon, G.J.2
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    • Unsupervised multi-level non-negative matrix factorization model: Binary data case
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    • Bilevel sparse coding for coupled feature spaces
    • IEEE
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.